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Ling 3.0 Flash Fin vs o1-pro

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 19.8.

InclusionAI · OpenAI · Updated for 2026

Which is better?

Ling 3.0 Flash Fin leads the overall LLM Stats Score 43.3 to 19.8, ranking #39 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Ling 3.0 Flash Fin

  • overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose o1-pro

  • you are already invested in the OpenAI ecosystem

At a glance

The differences that matter most.

Ling 3.0 Flash Fin
InclusionAI
o1-pro
OpenAI
Core performance indexes
LLM Stats Score
43.3
#39
19.8
#197
Reasoning
44.7
#32
20.1
#188
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.06 / M
— / M
Output price
$0.18 / M
— / M
Context window
262,144
—

Individual benchmarks

6 reported for Ling 3.0 Flash Fin · 2 for o1-pro

No common benchmarks found

Ling 3.0 Flash Fin and o1-prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Ling 3.0 Flash Fin specifies input context (262,144 tokens). Only Ling 3.0 Flash Fin specifies output context (262,144 tokens).

InclusionAI
Ling 3.0 Flash Fin
Input262,144 tokens
Output262,144 tokens
OpenAI
o1-pro
Input- tokens
Output- tokens
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

o1-pro supports multimodal inputs, whereas Ling 3.0 Flash Fin does not.

o1-pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Ling 3.0 Flash Fin

Text
Images
Audio
Video

o1-pro

Text
Images
Audio
Video

Release Timeline

When each model was launched

Ling 3.0 Flash Fin was released on 2026-09-03, while o1-pro was released on 2024-12-17.

Ling 3.0 Flash Fin is 21 months newer than o1-pro.

Ling 3.0 Flash Fin

Sep 3, 2026

5 days ago

1.7yr newer
o1-pro

Dec 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

o1-pro has a documented knowledge cutoff of 2023-09-30, while Ling 3.0 Flash Fin's cutoff date is not specified.

We can confirm o1-pro's training data extends to 2023-09-30, but cannot make a direct comparison without Ling 3.0 Flash Fin's cutoff date.

Ling 3.0 Flash Fin

—

o1-pro

Sep 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Ling 3.0 Flash Fin and o1-pro side-by-side, then vote on the output you prefer.

Ling 3.0 Flash Fin
✓ Preferred
o1-pro
Open in Playground

FAQ

Common questions about Ling 3.0 Flash Fin vs o1-pro.

Which is better, Ling 3.0 Flash Fin or o1-pro?

Ling 3.0 Flash Fin leads the LLM Stats Score 43.3 to 19.8. Ling 3.0 Flash Fin is made by InclusionAI and o1-pro is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Ling 3.0 Flash Fin compare to o1-pro in benchmarks?

Ling 3.0 Flash Fin scores SpreadSheetBench-v1: 86.5%, Finance Agent v1.1: 69.2%, Finance Agent v2: 59.8%, Tau3 Banking: 41.0%, APEX-Agents: 29.2%. o1-pro scores AIME 2024: 86.0%, GPQA: 79.0%.

What are the context window sizes for Ling 3.0 Flash Fin and o1-pro?

Ling 3.0 Flash Fin supports 262K tokens and o1-pro supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Ling 3.0 Flash Fin and o1-pro?

Key differences include LLM Stats Score (43.3 vs 19.8), multimodal support (no vs yes), licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Ling 3.0 Flash Fin and o1-pro?

Ling 3.0 Flash Fin is developed by InclusionAI and o1-pro is developed by OpenAI.

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